pm4py.visualization.dfg package#

PM4Py – A Process Mining Library for Python

Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)

This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.

You should have received a copy of the GNU Affero General Public License along with this program. If not, see this software project’s root or visit <https://www.gnu.org/licenses/>.

Website: https://processintelligence.solutions Contact: info@processintelligence.solutions

Subpackages#

Submodules#

pm4py.visualization.dfg.visualizer module#

PM4Py – A Process Mining Library for Python

Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)

This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.

You should have received a copy of the GNU Affero General Public License along with this program. If not, see this software project’s root or visit <https://www.gnu.org/licenses/>.

Website: https://processintelligence.solutions Contact: info@processintelligence.solutions

class pm4py.visualization.dfg.visualizer.Variants(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#

Bases: Enum

FREQUENCY = <module 'pm4py.visualization.dfg.variants.frequency' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\visualization\\dfg\\variants\\frequency.py'>#
PERFORMANCE = <module 'pm4py.visualization.dfg.variants.performance' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\visualization\\dfg\\variants\\performance.py'>#
COST = <module 'pm4py.visualization.dfg.variants.cost' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\visualization\\dfg\\variants\\cost.py'>#
pm4py.visualization.dfg.visualizer.apply(dfg0: Dict[Tuple[str, str], float], log: EventLog = None, activities_count: Dict[str, int] = None, serv_time: Dict[str, float] = None, parameters: Dict[Any, Any] | None = None, variant=Variants.FREQUENCY) Digraph[source]#

Visualize a frequency/performance directly-follows graph

Parameters#

dfg0

Directly-follows graph

log

(if provided) Event log for the calculation of statistics

activities_count

(if provided) Dictionary associating to each activity the number of occurrences in the log.

serv_time

(if provided) Dictionary associating to each activity the average service time

parameters

Variant-specific parameters

variant

Variant: - Frequency DFG representation - Performance DFG representation

Returns#

gviz

Graphviz digraph

pm4py.visualization.dfg.visualizer.save(gviz, output_file_path, parameters=None)[source]#

Save the diagram

Parameters#

gviz

GraphViz diagram

output_file_path

Path where the GraphViz output should be saved

pm4py.visualization.dfg.visualizer.view(gviz, parameters=None)[source]#

View the diagram

Parameters#

gviz

GraphViz diagram

pm4py.visualization.dfg.visualizer.matplotlib_view(gviz, parameters=None)[source]#

Views the diagram using Matplotlib

Parameters#

gviz

Graphviz